The secondary objective of the study is to develop a multivariate predictive algorithm combining CA125 and HE4 with radiological imaging results, and patient risk factors (such as age, menopausal status and ethnicity) to estimate the risk of ovarian cancer, including low malignant potential (LMP) / borderline tumors, at the time of surgery in patients presenting with a pelvic mass.